company-tearsheet

Generate source-backed baseline profiles for public issuers with cited evidence.

8|12|Updated Sep 19, 2025
One-click install
npx skills add https://github.com/xpert-ai/xpert-plugins --skill company-tearsheet-xpert-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: company-tearsheet
Source: https://github.com/xpert-ai/xpert-plugins/tree/main/community/roles/financial-markets/skills/company-tearsheet
Command: npx skills add https://github.com/xpert-ai/xpert-plugins --skill company-tearsheet-xpert-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Public equity analysis often relies on inconsistent, uncited issuer baselines that create factual discrepancies across teams and downstream workflows. This Skill standardizes the creation of source-backed public issuer profiles to ensure all equity analysis starts from a consistent, validated factual foundation.

Core Features & Use Cases

  • Standardized Baseline Profiles: Generates consistent, cited profiles for public companies, equity issuers, and public sector peers with strict source hierarchy and evidence labeling.
  • Multi-Format Output: Supports polished standalone HTML tearsheets, structured JSON, and Markdown artifacts for both direct use and downstream handoff to other public equity tools.
  • Workflow Integration: Feeds factual baseline data into earnings analysis, comps valuation, DCF modeling, long/short pitch development, memo building, and meeting prep for public equity investors and analysts.

Quick Start

Use the company-tearsheet skill to generate a cited baseline profile for public company ticker AAPL using the latest filed financials and sourced market data.

Frequently Asked Questions about company-tearsheet

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a cited public issuer profile for equity analysis?

To generate a cited public issuer profile, use a standardized tearsheet tool that enforces strict source hierarchy and evidence labeling, producing a validated factual baseline for your public equity analysis workflows.

What is a source-backed tearsheet and why is it needed for public equity workflows?

A source-backed tearsheet is a standardized baseline profile for public issuers that eliminates inconsistent factual foundations across teams, ensuring all equity analysis starts from validated, cited data.

Can I export issuer profiles into JSON or Markdown for downstream DCF modeling and comps valuation?

Yes, you can export standardized issuer profiles into structured JSON, Markdown artifacts, and standalone HTML tearsheets, ensuring seamless downstream handoff for comps valuation, DCF modeling, and earnings analysis.

Does the profile generation process include confidence scoring and stale-data checks?

Profile generation enforces strict source hierarchy, evidence labeling, confidence scoring, and stale-data checks to ensure all baseline facts are cited, validated, and ready for investment workflow handoff.

What is the best way to standardize baseline facts across long/short pitch development and meeting prep?

The best way to standardize baseline facts is using a source-backed issuer profile generation process that applies evidence labeling and confidence scoring, ensuring consistent validated data for long/short pitch development and meeting prep.

When should I not use automated tearsheet generation for public sector peers?

Avoid automated tearsheet generation when real-time market data is required or if the public sector peers lack recently filed financials, as strict stale-data checks may prevent profile generation from completing.